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http://arks.princeton.edu/ark:/88435/dsp013197xp79v| Title: | Many-Sensor Visual-Inertial Odometry in Constrained Systems |
| Authors: | Rodriguez, Raoul |
| Advisors: | Chen, Yuxin |
| Department: | Electrical Engineering |
| Certificate Program: | Applications of Computing Program |
| Class Year: | 2018 |
| Abstract: | We present an evaluation of Rovio, a Visual-Inertial Odometry framework created and maintained by Eidgen¨ossische Technische Hochschule Z¨urich’s (ETH-Zurich) Autonomous Systems Laboratory (ASL). We create a platform for many-camera pose estimation evaluation using low-grade hardware and find the the framework is not able to function properly with low-quality IMU sensors, and retain the investigation of many-camera performance to future research |
| URI: | http://arks.princeton.edu/ark:/88435/dsp013197xp79v |
| Type of Material: | Princeton University Senior Theses |
| Language: | en |
| Appears in Collections: | Electrical and Computer Engineering, 1932-2023 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| RODRIGUEZ-RAOUL-THESIS.pdf | 3.84 MB | Adobe PDF | Request a copy |
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